Data Analytics Engineer (Finance)

Cacheflow; Mexico; On-site; PHP 4,308,000 - 6,769,000; Full time

Job summary

Stori seeks a Data Analytics Engineer to apply analytical and technical expertise to support finance, accounting, and regulatory reporting. You will contribute to data accuracy, reports, and reconciliations, working across Innovation, BI, and Data Management functions.

The role emphasizes data-driven solutions, collaboration with cross-functional teams, and adoption of open-source technologies to enable self-service analytics for stakeholders.

Qualifications

• Bachelor's degree or foreign equivalent in a quantitative field.
• Advanced SQL and Python for data manipulation and analysis.
• Strong interpersonal and collaboration skills.
• Clear written and verbal communication.
• Proven analytical, interpretive, and problem-solving abilities.
• Ability to work under pressure and meet deadlines.
• English fluent/proficient.
• 2+ years in quantitative/qualitative analysis using SQL or Python.
• 2+ years in data analytics.
• Deep understanding of fintech credit product operations and regulatory reporting.

Responsibilities

• Develop data-driven solutions for accounting processes, including automating reconciliations and finance reporting.
• Mine data from diverse sources using Open Source/Digital technologies.
• Build data solutions and self-service tools for data consumers.
• Explore and adopt new technologies to progress initiatives.
• Collaborate with teams to launch finance-related products or features.
• Translate business needs into metrics, dashboards, and insights.
• Ensure data quality, metadata, lineage, and governance.

Skills

SQL

Python

Communication

Analytical skills

Work under pressure

English fluency

Data analytics

Fintech knowledge

Education

Bachelor's degree or foreign equivalent in Engineering, Science, Operations Research, IT, Statistics, Mathematics, Economics, Finance, Analytics or related quantitative field

Job description

As a Data Analytics Engineer at Stori, you will leverage your analytical and technical expertise to support our finance, accounting and regulatory reporting functions. Your role will be critical in ensuring data accuracy, compliance, and the generation of reports and reconciliations processes. On any given day, you will be challenged on three types of work – Innovation, Business Intelligence, and Data Management

• A bachelor's degree or foreign equivalent in Engineering, Science, Operations Research, Information Technology, Statistics, Mathematics, Economics, Finance, Analytics, or a related quantitative analytical field.

• Advanced skills in SQL and Python for data manipulation and analysis.

• Proven interpersonal, collaboration, diplomatic, influencing, planning, and organizational skills.

• Consistently demonstrate clear and concise written and verbal communication.

• Proven ability to effectively use complex analytical, interpretive, and problem-solving techniques.

• Demonstrated ability to work under pressure and to meet tight deadlines with proactive, decisiveness, and flexibility.

• English Fluent/proficient.

• 2 or more years of experience in quantitative and qualitative analysis using SQL or Python.

• 2 or more years of working experience in data analytics.

• Deep understanding of credit product operations (credit cards, loans, asset financing, etc.).

• Understanding of financial regulations and accounting principles, especially within the fintech industry.

• Experience with regulatory and compliance reporting in a financial services context.

Innovation

• Develop and enhance data-driven solutions for accounting processes, including the automation of reconciliations and finance reporting to improve accuracy and efficiency.

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.

• Demonstrate the ability to explore and quickly grasp new technologies to progress varied initiatives.

Business Intelligence

• Collaborate closely with teams to launch new products or features, ensuring they are aligned with finance objectives.

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.

• Drive analysis that provides meaningful insights on business strategies.

Data Management

• Drive an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions.

• Work with business teams to understand their needs and translate them into technical requirements.

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.

• Build and execute tools to monitor and report on data quality.